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公开(公告)号:US20250157098A1
公开(公告)日:2025-05-15
申请号:US18506457
申请日:2023-11-10
Applicant: GE Precision Healthcare LLC
Inventor: Florintina C , Sudhanya Chatterjee , Rohan Patil , Suresh Emmanuel Devadoss Joel
Abstract: A system and method for reducing scan time of periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) imaging include acquiring a plurality of blades of k-space data of a region of interest in a rotational manner around a center of k-space via a magnetic resonance imaging (MRI) scanner during a PROPELLER sequence, wherein each blade of the plurality of blades of k-space data includes a plurality of parallel phase encoding lines sampled in a phase encoding order. Each blade of the plurality of blades of k-space data is undersampled. The system and method include utilizing a deep learning-based Cartesian-like reconstruction network to individually and separately reconstruct each blade of the plurality of blades of k-space data to generate a plurality of fully sampled blades. The system and method include utilizing a PROPELLER reconstruction algorithm to generate a complex image from the plurality of fully sampled blades.
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公开(公告)号:US20240221153A1
公开(公告)日:2024-07-04
申请号:US18091776
申请日:2022-12-30
Applicant: GE Precision Healthcare LLC
Inventor: Prasad Sudhakara Murthy , Pavan Annangi , Tore G. Bjastad , Rohan Patil , Anders Sørnes , Erik Normann Steen , Abhijit Patil , Vikram Reddy Melapudi
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/10081 , G06T2207/20081
Abstract: Systems and methods are provided for super resolution for electronic 4D (e4D) cardiovascular ultrasound (CVUS) probes. In a medical imaging system, signals associated with a medical imaging technique may be acquired and processed, with the processing including applying one or both of a first type of correction to address a first type of degradation and a second type of correction to address a second type of degradation, with the first type of degradation being based on or caused by sparse acquisition, and the second type of degradation being based on or caused by choice of beamforming/reconstruction methodology.
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公开(公告)号:US20210174496A1
公开(公告)日:2021-06-10
申请号:US16703547
申请日:2019-12-04
Applicant: GE Precision Healthcare LLC
Inventor: Pavan Annangi , Hariharan Ravishankar , Tore Bjaastad , Erik Normann Steen , Svein Arne Aase , Rohan Patil
Abstract: Methods and systems are provided for sequentially selecting scan parameter values for ultrasound imaging. In one example, a method includes selecting a first parameter value for the a first scan parameter based on an image quality of each ultrasound image of a first plurality of ultrasound images of an anatomical region, each ultrasound image of the first plurality of ultrasound images having a different parameter value for the first scan parameter, selecting a second parameter value for a second scan parameter based on an image quality of each ultrasound image of a second plurality of ultrasound images of the anatomical region, each ultrasound image of the second plurality of ultrasound images having a different parameter value for the second scan parameter, and applying the first parameter value for the first scan parameter and the second parameter value for the second scan parameter to one or more additional ultrasound images.
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公开(公告)号:US20230386676A1
公开(公告)日:2023-11-30
申请号:US18312919
申请日:2023-05-05
Applicant: GE Precision Healthcare LLC
Inventor: Hariharan Ravishankar , Rohan Patil , Abhijit Patil
Abstract: The disclosure relates generally to a patient monitoring device and, more particularly, to improved system and method to detect a false alarm in a patient monitoring device. The disclosure specifically relates to a system and a method to detect a false alarm in a patient monitoring device. The system may include a patient monitoring device configured to receive a patient monitoring data from a patient. The system may enable the processing of the patient monitoring data by a processing device to determine a false alarm generated by the patient monitoring device. The system may further provide a user-interface, which may be configured to filter a true alarm from a false alarm generated by the patient monitoring device.
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公开(公告)号:US11308609B2
公开(公告)日:2022-04-19
申请号:US16703547
申请日:2019-12-04
Applicant: GE Precision Healthcare LLC
Inventor: Pavan Annangi , Hariharan Ravishankar , Tore Bjaastad , Erik Normann Steen , Svein Arne Aase , Rohan Patil
Abstract: Methods and systems are provided for sequentially selecting scan parameter values for ultrasound imaging. In one example, a method includes selecting a first parameter value for the a first scan parameter based on an image quality of each ultrasound image of a first plurality of ultrasound images of an anatomical region, each ultrasound image of the first plurality of ultrasound images having a different parameter value for the first scan parameter, selecting a second parameter value for a second scan parameter based on an image quality of each ultrasound image of a second plurality of ultrasound images of the anatomical region, each ultrasound image of the second plurality of ultrasound images having a different parameter value for the second scan parameter, and applying the first parameter value for the first scan parameter and the second parameter value for the second scan parameter to one or more additional ultrasound images.
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公开(公告)号:US20240378696A1
公开(公告)日:2024-11-14
申请号:US18144452
申请日:2023-05-08
Applicant: GE Precision Healthcare LLC
Inventor: Florintina C , Sajith Rajamani , Preetham Shankpal , Suresh Emmanuel Devadoss Joel , Sudhanya Chatterjee , Rohan Patil , Ramesh Venkatesan , Rajagopalan Sundaresan , Harsh Kumar Agarwal
Abstract: A method includes acquiring an MRI complex signal having a plurality of complex echoes during an SWI sequence. The method includes phase filtering each complex echo of the plurality of complex echoes. The method also includes generating a respective phase image and a respective magnitude image from each phase filtered complex echo. The method further includes combining separately the respective magnitude images of the plurality of complex echoes with each other to generate a combined magnitude image and the respective phase images of the plurality of complex echoes with each other to generate a combined phase image. The method includes generating a complex image from both the combined magnitude image and the combined phase image. The method includes utilizing a deep learning-based denoising network to denoise the complex image to generate a denoised complex image.
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公开(公告)号:US20240281649A1
公开(公告)日:2024-08-22
申请号:US18170888
申请日:2023-02-17
Applicant: GE Precision Healthcare LLC
Inventor: Hariharan Ravishankar , Prasad Sudhakara Murthy , Rohan Patil
Abstract: Systems/techniques that facilitate improved distillation of deep ensembles are provided. In various embodiments, a system can access a deep learning ensemble configured to perform an inferencing task. In various aspects, the system can iteratively distill the deep learning ensemble into a smaller deep learning ensemble configured to perform the inferencing task, wherein a current distillation iteration can involve training a new neural network of the smaller deep learning ensemble via a loss function that is based on one or more neural networks of the smaller deep learning ensemble which were trained during one or more previous distillation iterations.
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